2003-2017年北京市地表热力景观时空分异特征及演变规律

doi:10.11821/dlxb201903006

Abstract

Abstract:

Urban heat islands resulting from land use and land cover change have become a major barrier to urbanization and sustainable development of ecological urban environments. Although many studies have focused on the interannual and seasonal characteristics of urban heat islands, there has been no comparative analysis of the urban surface thermal landscape at multiple spatio-temporal scales. This study described the spatio-temporal patterns of the urban surface thermal landscape in different seasons and by time of day (daytime/nighttime) in terms of quantity, shape, and structure using MODIS LST products, and revealed the evolution of the urban surface thermal landscape using mapping techniques and analysis of barycenter trajectories in metropolitan Beijing between 2003 and 2017. The conclusions were as follows: (1) The characteristics of the urban surface thermal landscape vary significantly in different seasons and by time of day. (2) The medium-temperature zone constitutes the largest proportion of the area of metropolitan Beijing, which is the most unstable area during the daytime and the instability of the sub-high-temperature and sub-low-temperature zones increased at night. (3) The stable zone is most important in terms of the change in the land surface thermal landscape, followed by the repeated-changes zone and the zone where the change occurred in the first 5 years. The changes of different temperature zones usually increased or decreased progressively. There was a cooling trend in the mountains. In the north mountain-transition zone, the process of transferring between sub-low temperature and medium temperature was repeated. There was a warming trend in the south. (4) The area of the high-temperature zone increased from 2003 to 2017 and its barycenter was concentrated in the city center; the barycenter of the low-temperature zone moved to the urban fringe. The ecological conservation development zone made the greatest contribution to the surface thermal landscape in metropolitan Beijing. The spatio-temporal distribution and evolution of the urban surface thermal landscape support management decisions aimed at alleviating the effect of the urban heat island.

Key words: urban thermal landscape, spatiotemporal pattern, transition probability matrix, barycenter trajectory, MODIS, Beijing

Zhi QIAO, Ningyu HUANG, Xinliang XU, Zongyao SUN, Chen WU, Jun YANG. Spatio-temporal pattern and evolution of the urban thermal landscape in metropolitan Beijing between 2003 and 2017[J].Acta Geographica Sinica, 2019, 74(3): 475-489.

Figures/Tables 10

Tab. 1

Tab. 2

The calculation of landscape indexes and their characterizations

特征	景观指数	计算公式	变量解释
数量特征	类型比例(PLAND)	$PLAND = ∑ j = 1 n a i j A × 100$	a_ij为i等级地表热力景观中j斑块的面积;A为景观总面积
形态特征	景观形状指数(LSI)	$LSI = 0.25 × E A$	E为所有斑块的边界总长度;A为景观总面积
结构特征	聚合度(AI)	$AI = ∑ i = 1 m g ii max → g ii × P i × 100$	g_ij为i等级地表热力景观所有像元之间的邻接数;max→g_ii为i等级地表热力景观所有像元之间的最大邻接数;P_i为i等级地表热力景观斑块占景观总面积的比例

Tab. 2

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Fig. 8

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地表温度等级	温度范围
低温	T_ni<T_mean-1.5S
次低温	T_mean-1.5S ≤ T_ni<T_mean-0.5S
中温	T_mean-0.5S ≤ T_ni<T_mean+0.5S
次高温	T_mean+0.5S ≤ T_ni<T_mean+1.5S
高温	T_ni ≥ T_mean+1.5S

Spatio-temporal pattern and evolution of the urban thermal landscape in metropolitan Beijing between 2003 and 2017

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